Background and Focus:
As embedded on-chip systems grow more and more complex and are about to be deployed in automotive and other demanding application areas (beyond the main-stream of consumer electronics), run-time adaptation is a prime design consideration for many reasons: i) reliability is a major concern when migrating to technology nodes of 32nm and beyond, ii) efficiency i.e. computational power per Watt etc. is a challenge as computing models do not keep up with hardware-provided computing capabilities, iii) power densities increase rapidly as Dennard scaling fails resulting in what is dubbed “Dark Silicon”, iv) highly complex embedded applications are hard to predict etc. All these scenarios (and further not listed here) make proactive and sophisticated run-time adaption techniques a prime design consideration for generations of multi-core architectures to come. The intend of this tutorial is to present problems and solutions of top research initiatives from diverse angels with the common denominator of the dire need for run-time adaption: The first talk tackles the thermal problem i.e. high power densities and the related short and long-term effects it has on the reliability and it presents scalable techniques to cope the related problems. The second talk presents the potential of steep slope devices on thread scheduling of multi-cores. The third talk presents embedded pipelined architectures running complex multi-media applications whereas the fourth talk presents the paradigm of invasive computing i.e. a novel computing approach promising high efficiency through a highly-adaptive hardware/software architecture.
P1: “The Thermal Problem: Scalable Adaptive Solutions for Complex Multi-core Systems” by Jörg Henkel, Karlsruhe Institute of Technology, Sep., 30th., 2013
P2: „Flexing Adaptive Voltage Scaling using hybrid CMOS-Steep Slope Transistor Technology “ by Vijaykrishnan Narayanan, Pennsylvania State University
P3: „Highly Adaptive Pipelined Architectures for Complex Multi-Media Applications“ by Sri Parameswaran, University of New South Wales
P4: “The Invasive Computing Paradigm as a Solution for Highly Adaptive and Efficient Multi-core Systems”, by Jürgen Teich, University of Erlangen